Gen AI Developer (Contract)
Saaki, Argus & Averil Consulting (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 12–25 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable generative AI applications using LLMs, RAG pipelines, and agent-based architectures.
- Build and optimize backend APIs, microservices, and vector database integration for semantic search and retrieval.
- Collaborate with cross-functional teams to deploy enterprise-grade AI solutions with observability, security, and performance optimization.
Minimum Requirements
- Proficiency in Python and relevant frameworks for backend API and microservices development.
- Experience with LLM application development using LangChain, LangGraph, LangFuse, and Amazon Bedrock integrations.
- Hands-on experience with RAG pipeline components: document ingestion, chunking, embeddings, retrieval, and indexing.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in architecting and deploying complex Gen AI solutions at scale within enterprise environments.
- Skilled in integrating security (SSO-based authentication/authorization) and monitoring for AI applications.
- Familiar with containerization (Docker) and cost-performance optimization strategies for AI workloads.